week 1
Using text vectors bundle (CBOW) in HPCC to find the common words for any datasets. The idea behind using text vectors is it’s ability to map each unique token in the corpus to a vector to discover the relationships between words by analyzing word usage patterns. text vectors maps text words into a high dimensional vector space such that similar words are grouped together, and the distances between words can reveal relationships. In the first week of my internship, I review ECL language, run the HPCC platform on the virtual machine and run different examples in ECL.
Farah's blog 